We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Are you passionate about robotics, computer vision, machine learning and want to help change the world?
This role presents an opportunity to shape the software foundations upon which the Autonomous revolution will be built. In Arm's Machine Learning Group, we develop the software stacks and specialist processors which enable developers to deploy groundbreaking machine learning algorithms. Join us and help build a software stack which will enable these algorithms to safely take control of Autonomous machines, from drones to self-driving cars - all running on Arm's state-of-the-art machine learning processors!
About the role
You will be developing a driver stack and Deep Neural Network inference engine for Arm's range of high-performance Neural Network Processors to target real-time, safety-critical applications. You will write low-level driver code directly controlling NPU processor operation in response to higher-level commands from applications. Quality and reliability is of paramount importance which is why we build comprehensive test suites and verification systems.
You will join world-leading engineering teams inside Arm, collaborate closely with product marketing, hardware and software architects, as well as the other software teams. You value quality, safety, reliability and attention to detail and are passionate about helping our industry-leading customers and partners succeed in deploying Arm's solutions.
Key Skills & Experience
- Deep knowledge of embedded systems, computer system architecture and related hardware concepts
- Authority in low-level C software development, ideally with knowledge of MISRA C or similar.
- Experience developing safety-critical software and working with V-model development processes such as ISO26262 and/or ASPICE.
- Understanding of kernel-level device drivers and how they integrate within an operating system
- Desirable Skills & Experience
- Understanding of Deep Convolutional Neural Network algorithms and their application to computer vision problems
- Familiarity with RTOSes such as Green Hills INTEGRITY, WindRiver VxWorks, QNX or RTLinux
- Experience developing driver stacks for compute accelerators such as GPUs or DSPs
Arm Core Beliefs
At Arm, we are guided by our core beliefs that reflect our culture and guide our decisions, defining how we work together to defy ordinary and shape extraordinary:
We not I
Take daily responsibility to make the Global Arm community thrive
No individual has the right answer. Brilliance is collective
Information is essential, share it
Realise that we win when we collaborate — and that everyone misses out when we don’t
Passion for progress
Our differences are our strength. Widen and mix up the pool of people you connect with
Difficult things can take unexpected directions. Stick with it
Make feedback positive and expansive, not negative and narrow
The essence of progress is that it can’t stop. Grow with it and be responsible for your own progress
Be your brilliant self
Be quirky not egocentric
Recognise the power in saying ‘I don’t know’
Make trust our default position
Hold strong opinions lightly
With offices around the world, Arm is full of diverse, dedicated, creative and hard-working engineers. By enabling an inclusive, meritocratic and open workplace where all our people can grow and succeed, we support our people to share their contributions to Arm's success in the global marketplace.
Arm has a responsibility to ensure that all employees are eligible to live and work in the UK.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Your particular benefits package will depend on position and type of employment and may be subject to change. Your package will be confirmed on offer of employment. Arm’s benefits program provides permanent employees with the opportunity to stay innovative and healthy, ensure the wellness of their families, and create a positive working environment.
- Annual Bonus Plan
- Discretionary Cash Award
- Group Personal Pension Plan with enhanced company contribution
- Medical, Travel, Health & Life Insurances
- Holiday, 25 days annual leave with option to buy an additional 5 days per year
- Sabbatical, 20 paid days every four-year of service
- Volunteering, One (1) paid working day each year (TeamARM)
- Varies by location: cycle to work, free car parking, gym on site, team and social events
Arm® technology is at the heart of a computing and connectivity revolution that is transforming the way people live and businesses operate. From the unmissable to the invisible; our advanced, energy-efficient processor designs are enabling the intelligence in 86 billion silicon chips and securely powering products from the sensor to the smartphone to the supercomputer. With more than 1,000 technology partners including the world’s most famous business and consumer brands, we are driving Arm innovation into all areas compute is happening inside the chip, the network and the cloud.
With offices around the world, Arm is a diverse community of dedicated, innovative and highly talented professionals. By enabling an inclusive, meritocratic and open workplace where all our people can grow and succeed, we encourage our people to share their unique contributions to Arm's success in the global marketplace.
About the office
At our global HQ in Cambridge, England we house the majority of our engineering and our corporate groups that deliver our extraordinary success. As a world-renowned university town, Cambridge boasts both a beautiful countryside and a historical town center. Local activities include punting on the River Cam and the many museums that reside within Cambridge University.
Cambridge, UK - Global HQ
110 Fulbourn Road
See on Google maps